This paper presents an adaptive neuro-fuzzy PID controller based on twin delayed deep
deterministic policy gradient (TD3) algorithm for nonlinear systems. In this approach, the …

Expert and intelligent systems are being developed to control many technological systems
including mobile robots. However, the PID (Proportional-Integral-Derivative) controller is a …

This paper concerns with the method of parameters tuning and the capability of active
disturbance rejection control (ADRC) to the nonlinear plants. Firstly, an adaptive method of …

The control of the open loop unstable systems with nonlinear structure is challenging work.
In this paper, for the first time, we present a sand cat swarm optimization (SCSO) algorithm …

Controlling underactuated open-loop unstable systems is challenging. In this study, first,
both nonlinear and linear models of a dual-axis reaction wheel pendulum (DA-RWP) are …

When a wing-in-ground craft (WIG) adjusts its flying altitude, overshooting behavior may
occur, which weakens the safety and stealth ability. In previous studies on path following …

Policy search algorithms have facilitated application of Reinforcement Learning (RL) to
dynamic systems, such as control of robots. Many policy search algorithms are based on the …

This paper proposes an adaptive formation tracking control algorithm optimized by Q‐
learning scheme for multiple mobile robots. In order to handle the model uncertainties and …

Force tracking control for electrohydraulic servo system based on adaptive neuro-fuzzy inference
system (ANFIS) controller | Emerald Insight Books and journals Case studies Expert Briefings …

An Improved Particle Swarm Optimization-Based Fuzzy PID Control Algorithm (IPSO-PID) is
used to address the problem of poor CFRP molding quality caused by the inadequate …